7
views
0
recommends
+1 Recommend
1 collections
    0
    shares

      To submit your manuscript to JMIR, please click here

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Design and Implementation of a Novel System for Correcting Posture Through the Use of a Wearable Necklace Sensor

      research-article
      , PhD 1 , , PhD 2 , , , MS 1
      (Reviewer), (Reviewer)
      JMIR mHealth and uHealth
      JMIR Publications
      wearable sensing technology, necklace, posture correction, image recognition, internet of things

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          To our knowledge, few studies have examined the use of wearable sensing devices to effectively integrate information communication technologies and apply them to health care issues (particularly those pertaining to posture correction).

          Objective

          A novel system for posture correction involving the application of wearable sensing technology was developed in this study. The system was created with the aim of preventing the unconscious development of bad postures (as well as potential spinal diseases over the long term).

          Methods

          The newly developed system consists of a combination of 3 subsystems, namely, a smart necklace, notebook computer, and smartphone. The notebook computer is enabled to use a depth camera to read the relevant data, to identify the skeletal structure and joint reference points of a user, and to compute calculations relating to those reference points, after which the computer then sends signals to the smart necklace to enable calibration of the smart necklace’s standard values (base values for posture assessment). The gravitational acceleration data of the user are collected and analyzed by a microprocessor unit-6050 sensor housed in the smart necklace when the smart necklace is worn, with those data being used by the smart necklace to determine the user’s body posture. When poor posture is detected by the smart necklace, the smart necklace sends the user’s smartphone a reminder to correct his or her posture; a mobile app that was also developed as part of the study allows the smart necklace to transmit such messages to the smartphone.

          Results

          The system effectively enables a user to monitor and correct his or her own posture, which in turn will assist the user in preventing spine-related diseases and, consequently, in living a healthier life.

          Conclusions

          The proposed system makes it possible for (1) the user to self-correct his or her posture without resorting to the use of heavy, thick, or uncomfortable corrective clothing; (2) the smart necklace’s standard values to be quickly calibrated via the use of posture imaging; and (3) the need for complex wiring to be eliminated through the effective application of the Internet of Things as well as by implementing wireless communication between the smart necklace, notebook computer, and smartphone.

          Related collections

          Most cited references17

          • Record: found
          • Abstract: not found
          • Conference Proceedings: not found

          Real-time human pose recognition in parts from single depth images

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Shape Quantization and Recognition with Randomized Trees

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors

                Bookmark

                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                May 2019
                28 May 2019
                : 7
                : 5
                : e12293
                Affiliations
                [1 ] Department of Electrical Engineering National Central University Taoyuan Taiwan
                [2 ] Department of Communications, Navigation and Control Engineering National Taiwan Ocean University Keelung Taiwan
                Author notes
                Corresponding Author: Yao-Liang Chung ylchung@ 123456email.ntou.edu.tw
                Author information
                http://orcid.org/0000-0002-1787-173X
                http://orcid.org/0000-0001-6512-1127
                http://orcid.org/0000-0001-7878-021X
                Article
                v7i5e12293
                10.2196/12293
                6660123
                31140439
                14f9cfd4-1abe-4157-8f67-30facccafe4b
                ©Hung-Yuan Chung, Yao-Liang Chung, Chih-Yen Liang. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 28.05.2019.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/.as well as this copyright and license information must be included.

                History
                : 21 September 2018
                : 2 February 2019
                : 22 February 2019
                : 25 February 2019
                Categories
                Original Paper
                Original Paper

                wearable sensing technology,necklace,posture correction,image recognition,internet of things

                Comments

                Comment on this article